The Trade Desk
Media · Programmatic advertising
Currently tracking 13 active AI roles, with 90 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $125k–$252k (avg $186k).
The Trade Desk is actively hiring for 16 AI-related roles, with a significant focus on the agents stage, which accounts for 69% of their current openings. Engineering is the primary function for these positions, followed by product. The majority of these roles are located in the United States. Frequent technical tags include agent_orchestration, llm_observability, and guardrails, suggesting a focus on managing and deploying AI agents. Over the last 30 days, The Trade Desk has added 10 new AI roles, representing a 233% increase compared to the previous 30-day period.
Media · Programmatic advertising
The Trade Desk currently has 18 active AI-related roles in our index. The most common open titles are: Staff Applied Scientist (3), Applied Scientist II (2), Senior Product Manager, Audience (2), Data Scientist II, Director of Design Technology. Most positions are in Engineering and Product.
The Trade Desk's active AI hiring is concentrated in: agents (61%), data (17%), application (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
The Trade Desk is hiring AI talent in: United States (15 roles), United Kingdom (1 role), China (1 role), Australia (1 role).
Job postings at The Trade Desk most frequently reference: agent orchestration, model serving, llm observability, guardrails, rag.
In the past 30 days, The Trade Desk has posted 5 new AI-related roles. That is a -50% change versus the prior 30 days (10 → 5).
| Title | Stage | AI score |
|---|---|---|
| Staff Applied Scientist Staff Applied Scientist role focused on researching and developing end-to-end ML/deep learning forecasting models for advertising campaign lifecycle, involving signal collection, feature construction, model evaluation, and deployment in collaboration with engineering teams. | Post-train | 7 |
| Staff Applied Scientist Staff Applied Scientist role focused on researching and developing end-to-end ML/deep learning forecasting models for advertising campaign lifecycle, involving signal collection, feature construction, model evaluation, and deployment in collaboration with engineering teams. | Post-train | 7 |